Martin Strauss

According to our database, Martin Strauss authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates.

Nicola Pia, Martin Strauss, Markus Multrus, Bernd Edler

CoRR, 2024

Efficient Area-Based and Speaker-Agnostic Source Separation.

Martin Strauss, Okan Köpüklü

Proceedings of the 18th International Workshop on Acoustic Signal Enhancement, 2024

2023

SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement.

Martin Strauss, Nicola Pia, Nagashree K. S. Rao, Bernd Edler

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Predicting Preferred Dialogue-to-Background Loudness Difference in Dialogue-Separated Audio.

Luca Resti, Martin Strauss, Matteo Torcoli, Emanuël A. P. Habets, Bernd Edler

Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

2022

Improved Normalizing Flow-Based Speech Enhancement Using an all-Pole Gammatone Filterbank for Conditional Input Representation.

Martin Strauss, Matteo Torcoli, Bernd Edler

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2021

A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation.

Martin Strauss, Jouni Paulus, Matteo Torcoli, Bernd Edler

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Flow-Based Neural Network for Time Domain Speech Enhancement.

Martin Strauss, Bernd Edler

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions].

Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro

IEEE Signal Process. Mag., 2019

Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition.

Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro

CoRR, 2019

Natural Language Analysis to Detect Parkinson's Disease.

Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Martin Strauss, Juan Rafael Orozco-Arroyave, Elmar Nöth

Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019

2018

DREGON: Dataset and Methods for UAV-Embedded Sound Source Localization.

Martin Strauss, Pol Mordel, Victor Miguet, Antoine Deleforge

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia.

Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017